The clinical utility of the Cornell Scale for Depression in Dementia as a routine assessment in nursing homes

Objective To examine the clinical utility of the Cornell Scale for Depression in Dementia (CSDD) in nursing homes. Setting 14 nursing homes in Sydney and Brisbane, Australia. Participants 92 residents with a mean age of 85 years. Measurements Consenting residents were assessed by care staff for depression using the CSDD as part of their routine assessment. Specialist clinicians conducted assessment of depression using the Semi-structured Clinical Diagnostic Interview for DSM-IV-TR Axis I Disorders for residents without dementia or the Provisional Diagnostic Criteria for Depression in Alzheimer Disease for residents with dementia to establish expert clinical diagnoses of depression. The diagnostic performance of the staff completed CSDD was analyzed against expert diagnosis using receiver operating characteristic (ROC) curves. Results The CSDD showed low diagnostic accuracy, with areas under the ROC curve being 0.69, 0.68 and 0.70 for the total sample, residents with dementia and residents without dementia, respectively. At the standard CSDD cutoff score, the sensitivity and specificity were 71% and 59% for the total sample, 69% and 57% for residents with dementia, and 75% and 61% for residents without dementia. The Youden index (for optimizing cut-points) suggested different depression cutoff scores for residents with and without dementia. Conclusion When administered by nursing home staff the clinical utility of the CSDD is highly questionable in identifying depression. The complexity of the scale, the time required for collecting relevant information, and staff skills and knowledge of assessing depression in older people must be considered when using the CSDD in nursing homes.

Antidepressant direct-to-consumer prescription drug advertising and public stigma of depression : the mediating role of perceived prevalence of depression

This study examines whether memory of antidepressant direct-to-consumer (DTC) prescription drug advertising is associated with the public stigma attached to depression. Results indicate that those who better remember antidepressant DTC ads tend to have a higher perceived prevalence of depression (i.e., more people suffer from depression). And, the perceived prevalence of depression is inversely associated with the public stigma toward depression. That is, those who have a higher perceived prevalence of depression report that they are more supportive of and comfortable with people who have depression. The results suggest that the perceived prevalence of depression is a mediating variable that accounts for the relationship between memory of antidepressant DTC ads and the public stigma toward depression. The implications and limitations of the study, as an exploratory investigation, are discussed.

Depression in Working Adults: Comparing the Costs and Health Outcomes of Working When Ill

Objective Working through a depressive illness can improve mental health but also carries risks and costs from reduced concentration, fatigue, and poor on-the-job performance. However, evidence-based recommendations for managing work attendance decisions, which benefit individuals and employers, are lacking. Therefore, this study has compared the costs and health outcomes of short-term absenteeism versus working while ill (“presenteeism”) amongst employed Australians reporting lifetime major depression. Methods Cohort simulation using state-transition Markov models simulated movement of a hypothetical cohort of workers, reporting lifetime major depression, between health states over one- and five-years according to probabilities derived from a quality epidemiological data source and existing clinical literature. Model outcomes were health service and employment-related costs, and quality-adjusted-life-years (QALYs), captured for absenteeism relative to presenteeism, and stratified by occupation (blue versus white-collar). Results Per employee with depression, absenteeism produced higher mean costs than presenteeism over one- and five-years ($42,573/5-years for absenteeism, $37,791/5-years for presenteeism). However, overlapping confidence intervals rendered differences non-significant. Employment-related costs (lost productive time, job turnover), and antidepressant medication and service use costs of absenteeism and presenteeism were significantly higher for white-collar workers. Health outcomes differed for absenteeism versus presenteeism amongst white-collar workers only. Conclusions Costs and health outcomes for absenteeism and presenteeism were not significantly different; service use costs excepted. Significant variation by occupation type was identified. These findings provide the first occupation-specific cost evidence which can be used by clinicians, employees, and employers to review their management of depression-related work attendance, and may suggest encouraging employees to continue working is warranted.

Comparative exploration of narrative processes for better and poorer outcomes for depression

Background Contemporary psychotherapy research demonstrates that whilst most clients respond positively to psychological interventions, a small, but significant proportion of clients fail to experience the expected benefits of therapy. Although methodologies exist that enable the identification of successful and unsuccessful therapy, we have a limited understanding of the processes associated with these outcomes. Aim The current study sought to examine the relationship between therapeutic outcome and therapeutic language. Methodology: The therapeutic outcomes of 42 trainee-therapists who provided psychotherapy to 173 clients were tracked with the OQ-45.2 over a 5 year period with the view of identifying the client/ trainee-therapist dyads with the best and poorest outcomes. The 6 best outcome and 6 poorest outcome client/ trainee-therapist dyads were identified in order to examine the characteristics of therapeutic conversations associated with better and poorer therapy outcomes. Therapeutic conversations were analysed with the Narrative Process Coding System. Findings The best outcome client/ trainee-therapist dyads demonstrated significant increases in reflexive conversation over the course of psychotherapy. Implications Examining the practices of the best and poorest outcome client/ trainee-therapist dyads with objective measures of therapy outcome provides an important first step in understanding how therapeutic language may contribute to the greatest therapeutic improvement or deterioration.

Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders

Migraine and major depressive disorder (MDD) are comorbid, moderately heritable and to some extent influenced by the same genes. In a previous paper, we suggested the possibility of causality (one trait causing the other) underlying this comorbidity. We present a new application of polygenic (genetic risk) score analysis to investigate the mechanisms underlying the genetic overlap of migraine and MDD. Genetic risk scores were constructed based on data from two discovery samples in which genome-wide association analyses (GWA) were performed for migraine and MDD, respectively. The Australian Twin Migraine GWA study (N = 6,350) included 2,825 migraine cases and 3,525 controls, 805 of whom met the diagnostic criteria for MDD. The RADIANT GWA study (N = 3,230) included 1,636 MDD cases and 1,594 controls. Genetic risk scores for migraine and for MDD were used to predict pure and comorbid forms of migraine and MDD in an independent Dutch target sample (NTR-NESDA, N = 2,966), which included 1,476 MDD cases and 1,058 migraine cases (723 of these individuals had both disorders concurrently). The observed patterns of prediction suggest that the 'pure' forms of migraine and MDD are genetically distinct disorders. The subgroup of individuals with comorbid MDD and migraine were genetically most similar to MDD patients. These results indicate that in at least a subset of migraine patients with MDD, migraine may be a symptom or consequence of MDD. © 2013 Springer-Verlag Berlin Heidelberg.

Changes in mood, depression and suicidal ideation after commencing pregabalin for neuropathic pain

Background Pregabalin is a treatment option for patients with persistent neuropathic pain. Its use has been associated with changes in mood and the development of depression and/or suicidal ideation. Objective Case presentations were reviewed of five patients reporting changes in mood, depression and suicidal ideation from the first 50 (approximately) patients commenced on pregabalin at the clinic. Discussion Although these patients had a history of depression, their mood had been stable before commencing pregabalin. Soon after commencement they reported changes in mood, and development of depression and/or suicidal ideation, which improved with dose reduction or cessation of pregabalin. Ultimately, all five patients ceased pregabalin treatment. Suicidal ideation is a recog-nised adverse effect of pregabalin. Patients should be warned of and monitored for deterioration in mood.

Increasing enjoyable activities to treat depression in nursing home residents with dementia: A pilot study

This pilot study aimed to assess the feasibility and acceptability of a Behavioral Activities intervention (BE-ACTIV) in Australian nursing homes. BE-ACTIV was developed by researchers at the University of Louisville, USA, to improve mood and quality of life (QOL) in nursing home residents with mild to moderate dementia. An 8-week trial was conducted and 10 residents with mild to moderate dementia received the BE-ACTIV intervention while 8 residents received a Walking and Talking intervention. Measures of depression (GDS–12R), and QOL (QOL-AD-NH) were administered prior to and following the interventions. Qualitative feedback indicated residents benefited from BE-ACTIV, evident by improved mood, although no statistically significant treatment effect was found. Moreover, the intervention was found to be feasible and acceptable to Australian nursing home staff and our findings highlight the importance of individualizing activities for people with dementia, of which 1:1 staff attention was a key component.

Validity of the geriatric depression scale and the collateral source version of the geriatric depression scale in nursing homes

Background Depression is a common psychiatric disorder in older people. The study aimed to examine the screening accuracy of the Geriatric Depression Scale (GDS) and the Collateral Source version of the Geriatric Depression Scale (CS-GDS) in the nursing home setting. Methods Eighty-eight residents from 14 nursing homes were assessed for depression using the GDS and the CS-GDS, and validated against clinician diagnosed depression using the Semi-structured Clinical Diagnostic Interview for DSM-IV-TR Axis I Disorders (SCID) for residents without dementia and the Provisional Diagnostic Criteria for Depression in Alzheimer Disease (PDCdAD) for those with dementia. The screening performances of five versions of the GDS (30-, 15-, 10-, 8-, and 4-item) and two versions of the CS-GDS (30- and 15-item) were analyzed using receiver operating characteristic (ROC) curves. Results Among residents without dementia, both the self-rated (AUC = 0.75–0.79) and proxy-rated (AUC = 0.67) GDS variations performed significantly better than chance in screening for depression. However, neither instrument adequately identified depression among residents with dementia (AUC between 0.57 and 0.70). Among the GDS variations, the 4- and 8-item scales had the highest AUC and the optimal cut-offs were >0 and >3, respectively. Conclusions The validity of the GDS in detecting depression requires a certain level of cognitive functioning. While the CS-GDS is designed to remedy this issue by using an informant, it did not have adequate validity in detecting depression among residents with dementia. Further research is needed on informant selection and other factors that can potentially influence the validity of proxy-based measures in the nursing home setting.

Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia

This paper describes algorithms that can identify patterns of brain structure and function associated with Alzheimer's disease, schizophrenia, normal aging, and abnormal brain development based on imaging data collected in large human populations. Extraordinary information can be discovered with these techniques: dynamic brain maps reveal how the brain grows in childhood, how it changes in disease, and how it responds to medication. Genetic brain maps can reveal genetic influences on brain structure, shedding light on the nature-nurture debate, and the mechanisms underlying inherited neurobehavioral disorders. Recently, we created time-lapse movies of brain structure for a variety of diseases. These identify complex, shifting patterns of brain structural deficits, revealing where, and at what rate, the path of brain deterioration in illness deviates from normal. Statistical criteria can then identify situations in which these changes are abnormally accelerated, or when medication or other interventions slow them. In this paper, we focus on describing our approaches to map structural changes in the cortex. These methods have already been used to reveal the profile of brain anomalies in studies of dementia, epilepsy, depression, childhood- and adult-onset schizophrenia, bipolar disorder, attention-deficit/hyperactivity disorder, fetal alcohol syndrome, Tourette syndrome, Williams syndrome, and in methamphetamine abusers. Specifically, we describe an image analysis pipeline known as cortical pattern matching that helps compare and pool cortical data over time and across subjects. Statistics are then defined to identify brain structural differences between groups, including localized alterations in cortical thickness, gray matter density (GMD), and asymmetries in cortical organization. Subtle features, not seen in individual brain scans, often emerge when population-based brain data are averaged in this way. Illustrative examples are presented to show the profound effects of development and various diseases on the human cortex. Dynamically spreading waves of gray matter loss are tracked in dementia and schizophrenia, and these sequences are related to normally occurring changes in healthy subjects of various ages.

The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.

Defining a developmental subtype of bipolar disorder in a sample of nonreferred adults by age at onset

Objective To test the hypothesis that the age at onset of bipolar disorder would identify a developmental subtype of bipolar disorder in adults characterized by increased levels of irritability, chronic course, rapid cycling, and comorbidity with attention deficit hyperactivity disorder. Methods Forty-four adult subjects diagnosed with bipolar disorder were selected from large family studies of youth with and without attention deficit hyperactivity disorder. These subjects were stratified by the age at onset in childhood (younger than 13 years; n = 8, 18%), adolescence (13–18 years; n = 12, 27%, or adulthood (older than 19 years; n = 24, 55%). All subjects were administered structure diagnostic interviews and a brief cognitive battery. Results In contrast with adult-onset bipolar disorder, child-onset bipolar disorder was associated with a longer duration of illness, more irritability than euphoria, a mixed presentation, a more chronic or rapid-cycling course, and increased comorbidity with childhood disruptive behavior disorders and anxiety disorders. Conclusion Stratification by age at onset of bipolar disorder identified subgroups of adult subjects with differing clinical correlates. This pattern of correlates is consistent with findings documented in children with pediatric bipolar disorder and supports the hypothesis that child-onset bipolar disorder may represent a developmental subtype of the disorder.

Efficacy and feasibility of a tele-health intervention for acute coronary syndrome patients with depression: Results of the 'MoodCare' randomized controlled trial

Background Depression is common after a cardiac event, yet there remain few approaches to management that are both effective and scalable. Purpose We aimed to evaluate the 6-month efficacy and feasibility of a tele-health program (MoodCare) that integrates depression management into a cardiovascular disease risk reduction program for acute coronary syndrome patients with low mood. Methods A two-arm, parallel, randomized design was used comprising 121 patients admitted to one of six hospitals for acute coronary syndrome. Results Significant treatment effects were observed for Patient Health Questionnaire 9 (PHQ9) depression (mean difference [change] = −1.8; p = 0.025; effect size: d = 0.36) for the overall sample, when compared with usual medical care. Results were more pronounced effects for those with a history of depression (mean difference [change] = −2.7; p = 0.043; effect size: d = 0.65). Conclusions MoodCare was effective for improving depression in acute coronary syndrome patients, producing effect sizes exceeding those of some face-to-face psychotherapeutic interventions and pharmacotherapy. (Trial Registration Number: ACTRN1260900038623.)

Factors associated with depression among male casual laborers in urban Vietnam

This study examined the level, the prevalence of and the factors associated with depression among male casual laborers in Hanoi. Social mapping was done to recruit and interview 450 men aged over 18 years, mostly unskilled and unregistered laborers from 135 street venues across 13 districts of the city using a structured questionnaire. Most were from rural and mountainous provinces and did manual works such as motorbike taxi drivers, porters, construction workers, small traders and others in the current city. The prevalence of self-reported depressive symptoms (25 %) was high. Structural equation modeling showed that marriage, family separation and living with peers or partners were three significant distal risk factors, while illicit drug use and low social connectedness were proximal predictors of depression. Of all factors, social connectedness appeared to be the most important because it plays a mediating role. Drug use was an independent risk factor. This study provides a model to understand the mental health of male casual laborers and to develop culturally appropriate intervention programs for these men

Covitality constructs as predictors of psychological well-being and depression for secondary school students'

This study was an examination of the strength of relations among covitality, and its underlying constructs of belief in self, emotional competence, belief in others, and engaged living, and two outcome variables; subjective well-being and depression. Participants included 361 Australian secondary school students (75 males and 286 females) who completed a series of online questionnaires related to positive psychological well-being in adolescents. The results from the first standard multiple regression analysis indicated that higher levels of belief in self, belief in others, and engaged living were significant predictors of increased subjective well-being. The results from the second standard multiple regression showed that higher levels of belief in self, belief in others, and engaged living were significant predictors of decreased feelings of depression. In both standard multiple regression models, the combined effect of the traits that comprise covitality was greater than the effect of each individual positive psychological trait.

Association of NOS1AP variants and depression phenotypes in schizophrenia

Background The nitric oxide synthase 1 adaptor protein gene (NOS1AP) has previously been recognised as a schizophrenia susceptibility gene due to its role in glutamate neurotransmission. The gene is believed to inhibit nitric oxide (NO) production activated by the N-methyl-d-aspartate (NMDA) receptor and reduced NO levels have been observed in schizophrenia patients. However, association studies investigating NOS1AP and schizophrenia have produced inconsistent results, most likely because schizophrenia is a clinically heterogeneous disorder. This study aims to investigate the association between NOS1AP variants and defined depression phenotypes of schizophrenia. Methods Nine NOS1AP SNPs, rs1415259, rs1415263, rs1858232, rs386231, rs4531275, rs4656355, rs4657178, rs6683968 and rs6704393 were genotyped in 235 schizophrenia subjects screened for various phenotypes of depression. Result One NOS1AP SNP (rs1858232) was associated with the broad diagnosis of schizophrenia and eight SNPs were associated with depression related phenotypes within schizophrenia. The rs1415259 SNP showed strong association with sleep dysregulation phenotypes of depression. Conclusion Results suggest that NOS1AP variants are associated with various forms of depression in schizophrenia and are more prevalent in males. Limitation Schizophrenia is a clinically heterogeneous disease that can vary greatly between different ethnic and geographic populations so our observations should be viewed with caution until they are independently replicated, particularly in larger patient cohorts.